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-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Lists the last name of all clients who made a PS-type complaint and were served by TOVA.
|
SELECT t1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'PS' AND T2.server = 'TOVA';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many clients under the age of 35 gave Eagle National Mortgage 1 star?
|
SELECT COUNT(T2.age) FROM reviews AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.Product = 'Eagle National Mortgage' AND T1.Stars = 1 AND T2.age < 35;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many male clients born in the year 1977 were given priority 0 in their complaints?
|
SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.sex = 'Male' AND T2.priority = 0 AND T1.year = 1997;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- List by name all customers who provided consent for the tag Older American.
|
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Tags = 'Older American' AND T2.`Consumer consent provided?` != 'N/A' AND T2.`Consumer consent provided?` IS NOT NULL AND T2.`Consumer consent provided?` != '';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the name of the state in which there have been the largest number of complaints with priority 0?
|
SELECT T2.state FROM callcenterlogs AS T1 INNER JOIN client AS T2 ON T1.`rand client` = T2.client_id INNER JOIN district AS T3 ON T2.district_id = T3.district_id INNER JOIN state AS T4 ON T3.state_abbrev = T4.StateCode WHERE T1.priority = 0 GROUP BY T2.state ORDER BY COUNT(T2.state) DESC LIMIT 1;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many complaints made by women and served after 3 pm received a timely response from the company?
|
SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN client AS T2 ON T1.`rand client` = T2.client_id INNER JOIN events AS T3 ON T1.`Complaint ID` = T3.`Complaint ID` WHERE T2.sex = 'Female' AND T1.ser_start BETWEEN '15:00:01' AND '23:59:59' AND T3.`Timely response?` = 'Yes';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many complaints were served in 5 minutes or less by DORIT and responded to the customer with an explanation, were made by phone?
|
SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.ser_time < '00:05:00' AND T1.server = 'DORIT' AND T2.`Submitted via` = 'Phone' AND T2.`Company response to consumer` = 'Closed with explanation';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many clients with the last name Alvarado are from Maryland?
|
SELECT COUNT(T2.client_id) FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T1.state_abbrev = T3.StateCode WHERE T2.last = 'Alvarado' AND T2.state = 'MD';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many reviews by people between 30 and 50 years include the word 'great'?
|
SELECT COUNT(T1.Reviews) FROM reviews AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T2.age BETWEEN 30 AND 50 AND T1.Reviews LIKE '%great%';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the full address of the customers who, having received a timely response from the company, have dispute about that response?
|
SELECT T1.address_1, T1.address_2 FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Timely response?` = 'Yes' AND T2.`Consumer disputed?` = 'Yes';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many complaints from female clients born in the year 2000 were not sent through the web?
|
SELECT COUNT(T2.`Submitted via`) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.sex = 'Female' AND T1.year = 2000 AND T2.`Submitted via` != 'Web';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- List all the complaints narratives made by the customer named Brenda and last name Mayer.
|
SELECT T2.`Consumer complaint narrative` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Brenda' AND T1.last = 'Mayer';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many complaints from customers with a gmail.com email were received by the company in February 2017?
|
SELECT COUNT(T1.email) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE (T2.`Date received` LIKE '2017-02%' OR T2.`Date received` LIKE '2017-01%') AND T1.email LIKE '%@gmail.com';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the average number of stars given by Oregon clients in their reviews?
|
SELECT CAST(SUM(T3.Stars) AS REAL) / COUNT(T3.Stars) AS average FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN reviews AS T3 ON T2.district_id = T3.district_id WHERE T1.State = 'Oregon';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What percentage of clients who sent their complaints by postal mail are age 50 and older?
|
SELECT CAST(SUM(CASE WHEN T1.age > 50 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T2.`Submitted via`) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Submitted via` = 'Postal mail';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the average age of Norwalk clients?
|
SELECT CAST(SUM(T1.age) AS REAL) / COUNT(T1.age) AS average FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Norwalk';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many clients who live in Kansas City provided a 1-star review?
|
SELECT COUNT(T1.Stars) FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Kansas City' AND T1.Stars = 1;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Which state has the highest number of clients who gave a 5-star review?
|
SELECT T2.state_abbrev FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 5 GROUP BY T2.state_abbrev ORDER BY COUNT(T2.state_abbrev) DESC LIMIT 1;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Which region does Noah Thompson live in?
|
SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.first = 'Noah' AND T1.last = 'Thompson';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How did Kyran Muller submit his complaint?
|
SELECT DISTINCT T2.`Submitted via` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Kyran' AND T1.last = 'Muller';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What are the products that people who were born after 2005 complain about?
|
SELECT DISTINCT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.year > 2005;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How long was Kendall Allen's complaint about her credit card?
|
SELECT T3.ser_time FROM events AS T1 INNER JOIN client AS T2 ON T1.Client_ID = T2.client_id INNER JOIN callcenterlogs AS T3 ON T1.`Complaint ID` = T3.`Complaint ID` WHERE T2.first = 'Kendall' AND T2.last = 'Allen' AND T2.sex = 'Female' AND T1.Product = 'Credit card';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What was the issue that the client with the longest server time faced?
|
SELECT T2.Issue FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.ser_time = ( SELECT MAX(ser_time) FROM callcenterlogs );
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many clients who live in New York City submitted their complaints via fax?
|
SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'New York City' AND T2.`Submitted via` = 'Fax';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the percentage of male clients complaining about their credit cards?
|
SELECT CAST(SUM(CASE WHEN T1.sex = 'Male' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.sex) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Please list any two clients with their full names who have been tagged as "Older American" by the company without seeking their permission.
|
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Tags = 'Older American' AND T2.`Consumer consent provided?` IN (NULL, 'N/A', '') LIMIT 2;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the birth date of the youngest client?
|
SELECT day, month, year FROM client ORDER BY year DESC, month DESC, day DESC LIMIT 1;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many times does the consumer have no dispute over a non-timely response from the company?
|
SELECT COUNT(`Timely response?`) FROM events WHERE `Timely response?` = 'No' AND `Consumer disputed?` = 'No';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many of the complaints are longer than 15 minutes?
|
SELECT COUNT(ser_time) FROM callcenterlogs WHERE strftime('%M', ser_time) > '15';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the most common issue for the highest priority complaints?
|
SELECT T1.Issue FROM events AS T1 INNER JOIN callcenterlogs AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.priority = 2 GROUP BY T1.Issue ORDER BY COUNT(T1.Issue) DESC LIMIT 1;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- List the full names of all clients who live in the Pacific division.
|
SELECT T2.first, T2.middle, T2.last FROM district AS T1 INNER JOIN client AS T2 ON T1.district_id = T2.district_id WHERE T1.division = 'Pacific';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the social number of the person who made the most complaints?
|
SELECT T1.social FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID GROUP BY T1.client_id ORDER BY COUNT(T1.client_id) DESC LIMIT 1;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Which is the city where most of the 1 star reviews come from?
|
SELECT T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 1 GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the address of the client who made a complaint via postal mail on March 14, 2012?
|
SELECT T1.address_1, T1.address_2 FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2012-03-14' AND T2.`Submitted via` = 'Postal mail';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Among the female clients, how many of them have a complaint with a priority of 1?
|
SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.sex = 'Female' AND T2.priority = 1;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- List all the server of the phone complaints with a late response from the company.
|
SELECT DISTINCT T2.server FROM events AS T1 INNER JOIN callcenterlogs AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T1.`Submitted via` = 'Phone' AND T1.`Timely response?` = 'No';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- List all the issues of the complaints made by Kaitlyn Eliza Elliott.
|
SELECT DISTINCT T2.Issue FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Kaitlyn' AND T1.middle = 'Eliza' AND T1.last = 'Elliott';
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-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the name of the state that the client with the email "[email protected]" lives in?
|
SELECT T3.state FROM state AS T1 INNER JOIN district AS T2 ON T1.StateCode = T2.state_abbrev INNER JOIN client AS T3 ON T2.district_id = T3.district_id WHERE T3.email = '[email protected]';
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-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Which region has the second most clients?
|
SELECT T2.division FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division ORDER BY COUNT(T2.division) DESC LIMIT 1, 1;
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-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Who is the owner of the final phone number for the complaints on server "MORIAH" on 9/11/2013?
|
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.server = 'MORIAH' AND T2.`Date received` = '2013-09-11';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Compute the average time in minute for each age group
|
SELECT CAST(SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 1 ELSE 0 END) AS teenagerAverageMins, CAST(SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 1 ELSE 0 END) AS adultAverageMins , CAST(SUM(CASE WHEN T1.age > 65 THEN 60 * strftime('%H', ser_time) + strftime('%M', ser_time) + strftime('%S', ser_time) / 60 ELSE 0 END) AS REAL) / SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS elderAverageMins FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client`;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What percentage of complaints are from the elderly?
|
SELECT CAST(SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.age) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Calculate the percentage of male clients from Indianapolis City.
|
SELECT CAST(SUM(CASE WHEN sex = 'Male' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(client_id) FROM client WHERE city = 'Indianapolis';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Among the teenager clients who use Google account and Microsoft account, which group of client is more than the other?
|
SELECT CASE WHEN SUM(CASE WHEN email LIKE '%@gmail.com' THEN 1 ELSE 0 END) > SUM(CASE WHEN email LIKE '%@outlook.com' THEN 1 ELSE 0 END) THEN 'Google account' ELSE 'Microsoft account' END FROM client WHERE age BETWEEN 13 AND 19;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the full name of client whose email address is [email protected]?
|
SELECT first, middle, last FROM client WHERE email = '[email protected]';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the first name of clients who have the highest priority?
|
SELECT T1.first FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.priority = ( SELECT MAX(priority) FROM callcenterlogs );
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- List down the email of client whose complaint is type "PS".
|
SELECT T1.email FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'PS';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Among the elderlies, state the last name of whose complaint is handled in server YIFAT?
|
SELECT T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.age > 65 AND T2.server = 'YIFAT';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many clients who live in New York City have the complaint outcome as "AGENT"?
|
SELECT COUNT(T2.`rand client`) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.city = 'New York City' AND T2.outcome = 'AGENT';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- List down the full name of clients who have disputed the response from company.
|
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Consumer disputed?` = 'Yes';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What are the complaint id of client who were born in 1931?
|
SELECT T2.`Complaint ID` FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.year = 1931;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Calculate the percentage of complaints made by Google account client in server ZOHARI.
|
SELECT CAST(SUM(CASE WHEN T1.email LIKE '%@gmail.com' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.email) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.server = 'ZOHARI';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- State the full name of clients with server time of 20 minutes and above.
|
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE strftime('%M', T2.ser_time) > '20';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Pick 5 clients with 0 priority and write down their last name.
|
SELECT T1.last FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.priority = 0 LIMIT 5;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Write down the call id of clients whose first name start with alphabet "B".
|
SELECT T2.call_id FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T1.first LIKE 'B%';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the product complained by Alexander Bronx Lewis?
|
SELECT DISTINCT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.first = 'Alexander' AND T1.middle = 'Bronx' AND T1.last = 'Lewis';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- State the first name of male clients who did not receive timely response from the call center.
|
SELECT T1.first FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Timely response?` = 'No' AND T1.sex = 'Male';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Which product received the most complaints from elder clients?
|
SELECT T2.Product FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.age > 65 ORDER BY T1.client_id DESC LIMIT 1;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Complaint about Credit Card mostly came from clients of which age group?
|
SELECT SUM(CASE WHEN T1.age > 13 AND T1.age <= 19 THEN 1 ELSE 0 END), SUM(CASE WHEN T1.age > 19 AND T1.age <= 65 THEN 1 ELSE 0 END) AS adult , SUM(CASE WHEN T1.age > 65 THEN 1 ELSE 0 END) AS elder FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Product = 'Credit card';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- List down the issues for complaint with server time of below 10 minutes.
|
SELECT T2.Issue FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%M', T1.ser_time) < '10';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Write down the date received of complaints sent via Fax.
|
SELECT T1.`Date received` FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the full name of clients who have issue about balance transfer?
|
SELECT T1.first, T1.middle, T1.last FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.Issue = 'Balance transfer';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the email address of clients who submitted their complaints via postal mail?
|
SELECT T1.email FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Submitted via` = 'Postal mail';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Calculate the average age of clients whose response is "Closed with relief".
|
SELECT AVG(T1.age) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Company response to consumer` = 'Closed with relief';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the average age of clients whose complaint type is "TT"?
|
SELECT AVG(T1.age) FROM client AS T1 INNER JOIN callcenterlogs AS T2 ON T1.client_id = T2.`rand client` WHERE T2.type = 'TT';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Write the complaint ID, call ID, and final phone number of complaints through AVIDAN server from 1/1/2014 to 12/30/2014.
|
SELECT `Complaint ID`, call_id, phonefinal FROM callcenterlogs WHERE strftime('%Y', `Date received`) = '2014' AND server = 'AVIDAN';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Between 1/1/2017 and 4/1/2017, what is the average server time of calls under the server DARMON?
|
SELECT AVG(CAST(SUBSTR(ser_time, 4, 2) AS REAL)) FROM callcenterlogs WHERE `Date received` BETWEEN '2017-01-01' AND '2017-04-01';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many times per year does a credit card customer complain about overlimit fees?
|
SELECT strftime('%Y', `Date received`), COUNT(`Date received`) FROM events WHERE product = 'Credit card' AND issue = 'Overlimit fee' GROUP BY strftime('%Y', `Date received`) HAVING COUNT(`Date received`);
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-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Among the clients in Middle Atlantic, how many are them are female and no more than 18 years old?
|
SELECT COUNT(T1.sex) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Middle Atlantic' AND T1.sex = 'Female' AND T1.age < 18;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Give me the full birthdate, email and phone number of the youngest client in Indianapolis .
|
SELECT T1.year, T1.month, T1.day, T1.email, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.city = 'Indianapolis' ORDER BY T1.year DESC, T1.month DESC, T1.day DESC LIMIT 1;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- List the top five cities in terms of the number of 5-star ratings in 2016 reviews, in descending order.
|
SELECT T2.city FROM reviews AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T1.Stars = 5 AND T1.Date LIKE '2016%' ORDER BY T1.Date DESC LIMIT 5;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the longest server time when the call is about the issue of arbitration?
|
SELECT MAX(T1.ser_time) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.issue = 'Arbitration';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Give me the social number and state of the client whose phone number is 100-121-8371.
|
SELECT T1.social, T1.state FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T1.phone = '100-121-8371';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- List the full names and phone numbers of clients that were from the Pacific.
|
SELECT T1.first, T1.middle, T1.last, T1.phone FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'Pacific';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the social number of the client who has the longest delay in his/her complaint? Calculate the days of delay and state the company's response to the consumer.
|
SELECT T1.social , 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)), T2.`Company response to consumer` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID ORDER BY 365 * (strftime('%Y', T2.`Date sent to company`) - strftime('%Y', T2.`Date received`)) + 30 * (strftime('%M', T2.`Date sent to company`) - strftime('%M', T2.`Date received`)) + (strftime('%d', T2.`Date sent to company`) - strftime('%d', T2.`Date received`)) DESC LIMIT 1;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many female clients are there older than 30?
|
SELECT COUNT(sex) FROM client WHERE sex = 'Female' AND age > 30;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Please list all first and last names of clients who live in New York city.
|
SELECT first, last FROM client WHERE city = 'New York City';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the oldest age of male clients?
|
SELECT MAX(age) FROM client WHERE sex = 'Male';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Please calculate the number of clients by each division.
|
SELECT T2.division, COUNT(T2.division) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id GROUP BY T2.division;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the percentage of female clients in the Middle Atlantic?
|
SELECT CAST(SUM(CASE WHEN T1.sex = 'Female' THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.sex) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the average age of clients in South Atlantic?
|
SELECT AVG(T1.age) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'South Atlantic';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Which city in the Midwest region has the least number of clients?
|
SELECT T2.city FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Midwest' GROUP BY T2.city ORDER BY COUNT(T2.city) LIMIT 1;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- How many customers in the Northeast use Microsoft email?
|
SELECT COUNT(T1.email) FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id INNER JOIN state AS T3 ON T2.state_abbrev = T3.StateCode WHERE T3.Region = 'Northeast' AND T1.email LIKE '%@outlook.com';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Which city in West North Central has the highest number of customers over the age of 60?
|
SELECT T2.city FROM client AS T1 INNER JOIN district AS T2 ON T1.district_id = T2.district_id WHERE T2.division = 'West North Central' AND T1.age > 60 GROUP BY T2.city ORDER BY COUNT(T2.city) DESC LIMIT 1;
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-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- What is the percentage of complaints about the late fee issue whose priority is 2 in 2017?
|
SELECT CAST(SUM(CASE WHEN T1.priority = 2 THEN 1 ELSE 0 END) AS REAL) * 100 / COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%Y', T1.`Date received`) = '2017';
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-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Which state has the most cities?
|
SELECT state_abbrev FROM district GROUP BY state_abbrev ORDER BY COUNT(city) DESC LIMIT 1;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Please give the first name and phone number of the client whose complaint id is CR0922485.
|
SELECT T1.first, T1.phone FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Complaint ID` = 'CR0922485';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Please list the emails of the clients whose complaint date received is 7/3/2014.
|
SELECT T1.email FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Date received` = '2014-07-03';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- In 2012, how many complaints about Credit card product came from clients in Omaha?
|
SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Omaha' AND strftime('%Y', T2.`Date received`) = '2012' AND T2.Product = 'Credit card';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- From 2012 to 2015, how many complaints were submitted via email from female clients?
|
SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE strftime('%Y', T2.`Date received`) BETWEEN '2012' AND '2015' AND T2.`Submitted via` = 'Email' AND T1.sex = 'Male';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Please list all clients' phone numbers and complaint IDs which are still in progress.
|
SELECT T1.phone, T2.`Complaint ID` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T2.`Company response to consumer` = 'In progress';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- In 2015, how many complaints about Billing disputes were sent by clients in Portland?
|
SELECT COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Portland' AND T2.`Date received` LIKE '2015%' AND T2.Issue = 'Billing disputes';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- In 2014, what is the percentage of complaints from consumers in Houston that the delay was over 5 days?
|
SELECT CAST((SUM(CASE WHEN strftime('%J', T2.`Date sent to company`) - strftime('%J', T2.`Date received`) > 5 THEN 1 ELSE 0 END)) AS REAL) * 100 / COUNT(T1.client_id) FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID WHERE T1.city = 'Houston' AND strftime('%Y', T2.`Date received`) = '2014';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- In the complains received in 2012, how many of them are submitted through email?
|
SELECT COUNT(`Submitted via`) FROM events WHERE strftime('%Y', `Date received`) = '2012' AND `Submitted via` = 'Email';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Give the client ID of the complaint received on April 16, 2014 and submitted through fax.
|
SELECT T2.Client_ID FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE T2.`Submitted via` = 'Fax' AND T1.`Date received` = '2014-04-16';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- List date of the review of the Eagle Capital from Indianapolis, Indiana.
|
SELECT T2.Date FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T2.Product = 'Eagle Capital' AND T1.city = 'Indianapolis' AND T1.state_abbrev = 'IN';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Among the complaints received in year 2015, what is total number of complaints timely response and closed with an explanation?
|
SELECT COUNT(T1.`Complaint ID`) FROM callcenterlogs AS T1 INNER JOIN events AS T2 ON T1.`Complaint ID` = T2.`Complaint ID` WHERE strftime('%Y', T1.`Date received`) = '2015' AND T2.`Timely response?` = 'Yes' AND T2.`Company response to consumer` = 'Closed with explanation';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- Among the female clients that age between 20 to 40, list the date when their complaints were received.
|
SELECT DISTINCT T3.`Date received` FROM client AS T1 INNER JOIN events AS T2 ON T1.client_id = T2.Client_ID INNER JOIN callcenterlogs AS T3 ON T2.`Complaint ID` = T3.`Complaint ID` WHERE T1.age BETWEEN 20 AND 40 AND T1.sex = 'Female';
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- List the product reviewed with 1 star on March 14, 2016 from Newton, Massachusetts.
|
SELECT T2.Product FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T1.city = 'Newton' AND T1.state_abbrev = 'MA' AND T2.Date = '2016-03-14' AND T2.Stars = 1;
|
-- Database schema
| state : StateCode [ TEXT ] primary_key , State [ TEXT ] , Region [ TEXT ] | callcenterlogs : Date received [ DATE ] , Complaint ID [ TEXT ] primary_key , rand client [ TEXT ] callcenterlogs.rand client = client.client_id , phonefinal [ TEXT ] , vru+line [ TEXT ] , call_id [ INTEGER ] , priority [ INTEGER ] , type [ TEXT ] , outcome [ TEXT ] , server [ TEXT ] , ser_start [ TEXT ] , ser_exit [ TEXT ] , ser_time [ TEXT ] | client : client_id [ TEXT ] primary_key , sex [ TEXT ] , day [ INTEGER ] , month [ INTEGER ] , year [ INTEGER ] , age [ INTEGER ] , social [ TEXT ] , first [ TEXT ] , middle [ TEXT ] , last [ TEXT ] , phone [ TEXT ] , email [ TEXT ] , address_1 [ TEXT ] , address_2 [ TEXT ] , city [ TEXT ] , state [ TEXT ] , zipcode [ INTEGER ] , district_id [ INTEGER ] client.district_id = district.district_id | district : district_id [ INTEGER ] primary_key , city [ TEXT ] , state_abbrev [ TEXT ] district.state_abbrev = state.StateCode , division [ TEXT ] | events : Date received [ DATE ] , Product [ TEXT ] , Sub-product [ TEXT ] , Issue [ TEXT ] , Sub-issue [ TEXT ] , Consumer complaint narrative [ TEXT ] , Tags [ TEXT ] , Consumer consent provided? [ TEXT ] , Submitted via [ TEXT ] , Date sent to company [ TEXT ] , Company response to consumer [ TEXT ] , Timely response? [ TEXT ] , Consumer disputed? [ TEXT ] , Complaint ID [ TEXT ] events.Complaint ID = callcenterlogs.Complaint ID , Client_ID [ TEXT ] events.Client_ID = client.client_id | reviews : Date [ DATE ] primary_key , Stars [ INTEGER ] , Reviews [ TEXT ] , Product [ TEXT ] , district_id [ INTEGER ] reviews.district_id = district.district_id |
-- -- In reviews for the Eagle National Bank product, how many of the 5 star reviews where from Nashville, Tennessee?
|
SELECT COUNT(T2.Stars) FROM district AS T1 INNER JOIN reviews AS T2 ON T1.district_id = T2.district_id WHERE T1.city = 'Nashville' AND T1.state_abbrev = 'TN' AND T2.Product = 'Eagle National Mortgage' AND T2.Stars = 5;
|
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